Event Detection Method

Event detection methods aim to automatically identify and classify events within various data streams, such as time series sensor data, social media posts, and video recordings. Current research emphasizes improving the accuracy and precision of event boundaries, particularly for long-duration events, using techniques like probability density function regression and time-frequency domain analysis with object detection models. These advancements are crucial for applications ranging from automated system monitoring in industries like automotive to real-time analysis of social events and enhancing video understanding, driving improvements in efficiency and objectivity across diverse fields.